解读教育数据智慧
发布时间：2018-11-18 20:43
【摘要】：大数据受到社会的普遍关注。教育领域的师生群体大,教育数据的潜在价值亦非常大。大数据的局限性日益显现,随后出现的小数据、全数据、快数据、行数据、关数据、巧数据等概念开始引起数据研究者的关注。本文从解读教育数据智慧的角度出发,理清了上述几个概念之间的关系,认为大数据与小数据组成了集数据密集与智慧密集于一体的全数据;快数据、行数据、关数据、巧数据是大数据的四种新形态,它们从不同的角度突显大数据的潜在价值。本文期望通过对数据智慧的解读,能够为教育数据的挖掘和应用提供思路。
[Abstract]:Big data received widespread attention from society. There are large groups of teachers and students in the field of education, and the potential value of educational data is also very great. Big data's limitations are becoming more and more obvious, and the following concepts such as small data, full data, fast data, row data, relevant data and skillful data begin to attract the attention of data researchers. From the angle of understanding the wisdom of educational data, this paper clarifies the relationship between the above concepts, and thinks that big data and small data form the whole data which is data intensive and wisdom intensive; Fast data, row data, close data and skillful data are four new forms of big data, which highlight the potential value of big data from different angles. This paper hopes to provide ideas for the mining and application of educational data through the interpretation of data wisdom.
【作者单位】： 华东师范大学开放教育学院;华东师范大学教育学部教育信息技术学系;上海市普陀区现代教育信息技术中心;
【基金】：全国教育科学“十二五”规划2014年度国家一般课题“智慧教育环境的构建与应用研究”(BCA140051)
【分类号】：G40-057
，
本文编号：2341165
[Abstract]:Big data received widespread attention from society. There are large groups of teachers and students in the field of education, and the potential value of educational data is also very great. Big data's limitations are becoming more and more obvious, and the following concepts such as small data, full data, fast data, row data, relevant data and skillful data begin to attract the attention of data researchers. From the angle of understanding the wisdom of educational data, this paper clarifies the relationship between the above concepts, and thinks that big data and small data form the whole data which is data intensive and wisdom intensive; Fast data, row data, close data and skillful data are four new forms of big data, which highlight the potential value of big data from different angles. This paper hopes to provide ideas for the mining and application of educational data through the interpretation of data wisdom.
【作者单位】： 华东师范大学开放教育学院;华东师范大学教育学部教育信息技术学系;上海市普陀区现代教育信息技术中心;
【基金】：全国教育科学“十二五”规划2014年度国家一般课题“智慧教育环境的构建与应用研究”(BCA140051)
【分类号】：G40-057
，
本文编号：2341165
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